Diagnostic Accuracy of Three Large Language Models on Clinical Images Varies by Skin Tone: Findings From the Stanford Diverse Dermatology Images Dataset

International Journal of Dermatology 2026

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Authors: Eunice Y. Ju, Ahana Sinharoy, Nicole Edmonds, R Hal Flowers
DOI: 10.1111/ijd.70452
Cited by: 1
References: 5

Abstract

The data that support the findings of this study are openly available in Stanford's Diverse Dermatology Image at https://aimi.stanford.edu/datasets/ddi-diverse-dermatology-images.

Fields of Study & Subjects

Cutaneous Melanoma Detection and Management AI in cancer detection Oral Health Pathology and Treatment

Publication details

Journal / source
International Journal of Dermatology
Publisher
Wiley
Volume
65
Issue
8
Pages
1783–1785
Publication date
3 May 2026
Language
EN